Journal ArticleDOI
A Comparative Study of Statistical and Rough Computing Models in Predictive Data Analysis
D. P. Acharjya,A. Anitha +1 more
TLDR
The comparative analysis is carried out over financial bankruptcy data set of Greek industrial bank ETEVA and it is concluded that rough computing techniques provide better accuracy 88.2% as compared to statistical techniques whereas hybridized computing techniques provides still better accuracy 94.1%.Abstract:
Information and technology revolution has brought a radical change in the way data are collected. The data collected is of no use unless some useful information is derived from it. Therefore, it is essential to think of some predictive analysis for analyzing data and to get meaningful information. Much research has been carried out in the direction of predictive data analysis starting from statistical techniques to intelligent computing techniques and further to hybridize computing techniques. The prime objective of this paper is to make a comparative analysis between statistical, rough computing, and hybridized techniques. The comparative analysis is carried out over financial bankruptcy data set of Greek industrial bank ETEVA. It is concluded that rough computing techniques provide better accuracy 88.2% as compared to statistical techniques whereas hybridized computing techniques provides still better accuracy 94.1% as compared to rough computing techniques.read more
Citations
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Journal ArticleDOI
A feature selection technique based on rough set and improvised PSO algorithm (PSORS-FS) for permission based detection of Android malwares
TL;DR: A new random key encoding method is recommended which is used in the proposed work (PSORS-FS) to convert classical PSO algorithm in discrete domain and it reduces the issues related to maximum velocity of particles as well as sigmoid function which is related with binary PSO.
Journal ArticleDOI
A data-driven understanding of COVID-19 dynamics using sequential genetic algorithm based probabilistic cellular automata
TL;DR: In this article, a probabilistic cellular automata based method has been employed to model the infection dynamics for a significant number of different countries, with a sequential genetic algorithm for efficiently estimating the parameters of the dynamics.
Book ChapterDOI
Rough Sets in COVID-19 to Predict Symptomatic Cases
Haribhau R. Bhapkar,Parikshit N. Mahalle,Parikshit N. Mahalle,Gitanjali R. Shinde,Mufti Mahmud +4 more
TL;DR: The main objective of this work is to minimize the number of symptoms of COVID-19 by rough set theory approach for better decision making.
Journal ArticleDOI
Automatic Indic script identification from handwritten documents: page, block, line and word-level approach
TL;DR: A multi-level script identification experiment, i.e., the same document is considered at different levels namely: page, block, line and word for script identification, which concludes two major issues: find an optimal level of work and provide a qualitative measure of feature set on particularlevel of work considered.
Journal ArticleDOI
Fusion of PET and MR Brain Images Based on IHS and Log-Gabor Transforms
TL;DR: Experimental results on twelve sets, including normal axial, normal coronal, and Alzheimer’s disease brain images, demonstrate that the fusion method outpaces framelet-transform-based method both visually and quantitatively.
References
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Journal ArticleDOI
Financial ratios, discriminant analysis and the prediction of corporate bankruptcy
TL;DR: In this paper, a set of financial and economic ratios are investigated in a bankruptcy prediction context wherein a multiple discriminant statistical methodology is employed, and the data used in the study are limited to manufacturing corporations, where an initial sample of sixty-six firms is utilized to establish a function which best discriminates between companies in two mutually exclusive groups: bankrupt and nonbankrupt firms.
Journal ArticleDOI
Rough sets
TL;DR: This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge discovery from databases, expert systems, decision support systems, inductive reasoning, and pattern recognition.
Journal ArticleDOI
Financial Ratios As Predictors Of Failure
TL;DR: In this article, the authors focus on the use of ratios as predictors of failure, defined as the inability of a firm to pay its financial obligations as they mature, and demonstrate that a firm is said to have failed when any of the following events have occurred.
Journal ArticleDOI
Business failure prediction using rough sets
TL;DR: The rough set approach is used to provide a set of rules able to discriminate between healthy and failing firms in order to predict business failure and the results are very encouraging, compared with those of discriminant and logit analyses.
Journal ArticleDOI
Application of the Rough Set Approach to Evaluation of Bankruptcy Risk
TL;DR: A new approach to evaluation of bankruptcy risk of firms based on the rough set theory is presented, which enables one to discover minimal subsets of condition attributes ensuring an acceptable quality of classification of the firms analysed and to derive decision rules from the financial information system which can be used to support decisions about financing new firms.
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